Linked Life Data

21197659

Source:http://linkedlifedata.com/resource/pubmed/id/21197659

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2011-6-7
pubmed:abstractText
In this paper we discuss the dualism of gene networks and their role in systems biology. We argue that gene networks (1) can serve as a conceptual framework, forming a fundamental level of a phenomenological description, and (2) are a means to represent and analyze data. The latter point does not only allow a systems analysis but is even amenable for a direct approach to study biological function. Here we focus on the clarity of our main arguments and conceptual meaning of gene networks, rather than the causal inference of gene networks from data. WIREs Syst Biol Med 2011 3 379-391 DOI: 10.1002/wsbm.134 For further resources related to this article, please visit the WIREs website.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1939-005X
pubmed:author
pubmed:copyrightInfo
Copyright © 2010 John Wiley & Sons, Inc.
pubmed:issnType
Electronic
pubmed:volume
3
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
379-91
pubmed:dateRevised
2011-9-20
pubmed:meshHeading
pubmed:articleTitle
Network biology: a direct approach to study biological function.
pubmed:affiliation
Computational Biology and Machine Learning, Center for Cancer Research and Cell Biology, School of Biomedical Sciences, Queen's University Belfast, Belfast, UK. v@bio-complexity.com
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't